Method and System for Generating Model Driven Applications Using Artificial Intelligence

2. The system (100) of claim 1, wherein the plurality of model templates and the plurality of usage patterns are created at a time and upon usage of the model driven platform.

3. The method (100) of claim 1, wherein the plurality of model templates and the plurality of usage patterns are enhanced with new or existing model elements and usage pattern entries respectively at a time and upon usage of the model driven platform.

4. The system (100) of claim 1, wherein each action definition represents executable instructions present inside a model driven development framework in one or more technologies to run the actions on the targets.

5. The system (100) of claim 1, wherein the one or more targets include component models, model elements, and allocation objects of model elements to user objects in the system, or a workspace.

6. The system (100) of claim 1, wherein recommendation of the one or more recommended actions includes prompting the user for any required information, when an action requires any inputs to proceed further or when an action or a sequence of actions specified by the user is in-feasible or when the user specifies an illegal action or a set of actions or when the system recovered from an error.

7. The system (100) of claim 1, wherein the one or more recommended actions are performed according to a context and requirement.

10. The method (300) of claim 9, wherein one or more model templates and the plurality of usage patterns are enhanced with new or existing model elements and usage pattern entries respectively at a time and upon usage of the model driven platform.

11. The method (300) of claim 8, wherein each action definition represents executable instructions present inside a model driven development framework in one or more technologies to run each of the one or more actions on the one or more targets.

12. The method (300) of claim 8, wherein the one or more targets include component models, model elements, and allocation objects of model elements to user objects in the system, or a workspace.

13. The method (300) of claim 8, wherein recommendation of the one or more recommended actions includes prompting the user for any required information, when an action requires any input to proceed further or when an action or a sequence of actions specified by the user is infeasible or when the user specifies an illegal action or a set of actions or when the error is recovered.